AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 4 of 7 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
The core of CLEAR is entailment distillation, which transfers answer-passage entailment supervision into a cross-encoder reranker so that the reranker discriminates answer-supporting passages from topical distractors at inference time, without requiring answers.
A budget-aware framework that systematically orchestrates when and what to teach and integrates a solvability-aware teacher gate to dictate the teacher model and a score-guided turn selection mechanism to decide what informative turns to retain is proposed.
MGUE-Bench is introduced, a systematic benchmark for assessing the performance of large language models in multi-granularity event analysis, and extensive experiments on state-of-the-art LLMs and retrieval-augmented generation methods delineate the current capability boundary and identify critical deficiencies, providi...
Confidence-Adaptive Thinking (CAT) is proposed, a framework that incorporates the model's intrinsic self-certainty signals as confidence into the preference optimization process, which autonomously modulates reasoning lengths based on problem difficulty.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.